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Beginning Apache Spark Dataframe by Luu Hien (17 results)
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Beginning Apache Spark 3: With DataFrame, Spark SQL, Structured Streaming, and Spark Machine Learning Library
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paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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Beginning Apache Spark 3 : With DataFrame, Spark SQL, Structured Streaming, and Spark Machine Learning Library
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Condition: New. 2nd ed. edition NO-PA16APR2015-KAP.
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Beginning Apache Spark 3 : With DataFrame, Spark SQL, Structured Streaming, and Spark Machine Learning Library
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Beginning Apache Spark 3: With DataFrame, Spark SQL, Structured Streaming, and Spark Machine Learning Library
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Beginning Apache Spark 3: With DataFrame, Spark SQL, Structured Streaming, and Spark Machine Learning Library
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Add to basketPaperback. Condition: Brand New. 2nd edition. 455 pages. 10.00x7.00x1.03 inches. In Stock.
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Condition: New. 2021. 2nd ed. paperback. . . . . . Books ship from the US and Ireland.
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Taschenbuch. Condition: Neu. Beginning Apache Spark 3 | With DataFrame, Spark SQL, Structured Streaming, and Spark Machine Learning Library | Hien Luu | Taschenbuch | xvii | Englisch | 2021 | Apress | EAN 9781484273821 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Take a journey toward discovering, learning, and using Apache Spark 3.0. In this book, you will gain expertise on the powerful and efficient distributed data processing engine inside of Apache Spark; its user-friendly, comprehensive, and flexible programming model for processing data in batch and streaming; and the scalable machine learning algorithms and practical utilities to build machine learning applications.Beginning Apache Spark 3 begins by explaining different ways of interacting with Apache Spark, such as Spark Concepts and Architecture, and Spark Unified Stack. Next, it offers an overview of Spark SQL before moving on to its advanced features. It covers tips and techniques for dealing with performance issues, followed by an overview of the structured streaming processing engine. It concludes with a demonstration of how to develop machine learning applications using Spark MLlib and how to manage the machine learning development lifecycle.This book is packed with practical examples and code snippets to help you master concepts and features immediately after they are covered in each section.After reading this book, you will have the knowledge required to build your own big data pipelines, applications, and machine learning applications.What You Will LearnMaster the Spark unified data analytics engine and its various componentsWork in tandem to provide a scalable, fault tolerant and performant data processing engineLeverage the user-friendly and flexible programming model to perform simple to complex data analytics using dataframe and Spark SQLDevelop machine learning applications using Spark MLlibManage the machine learning development lifecycle using MLflowWho This Book Is ForData scientists, data engineers and software developers.
